Hello:
Sorry for possible multiple postings. Below is the second call for papers for an IJCAI '05 workshop on:
Planning and Learning in A Priori Unknown or Dynamic Domains
The deadline for submissions is April 4, 2005.
Looking forward to your submissions,
Vadim Bulitko & Sven Koenig workshop chairs
=============
IJCAI 2005 Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains
http://www-rcf.usc.edu/~skoenig/workshop.html
August 1, 2005
Vadim Bulitko, University of Alberta ([EMAIL PROTECTED]) Sven Koenig, University of Southern California
Many testbeds in Artificial Intelligence are a priori known and static. However, as Artificial Intelligence systems are applied to more realistic problems, they need to be able to cope with a priori unknown and dynamic domains. The state of an environment, for instance, can change over time due to the presence of other (cooperative or competitive) agents or exogenous events. In such domains, an agent cannot predict the effects of its actions with certainty and thus needs to be able to plan under uncertainty with its current domain model as well as learn improved domain models, often in real time. Example domains include real-time games, mobile robotics, space applications, supply-chain management, and decision support for crisis management.
We solicit papers on all aspects of planning and learning in a priori unknown and dynamic domains, including but not limited to:
• finding robust plans and enhancing the robustness of existing plans,
• time-dependent planning,
• trading off planning time and plan quality,
• interleaving planning and plan execution,
• fast replanning and plan adaptation,
• planning when and what to sense,
• multi-agent planning and learning,
• life-long learning of domain models,
• acting robustly in the presence of unknown but important state features or discovering them
• reinforcement learning, and
• learning with very few training data.
These issues are being explored by researchers from different communities in Artificial Intelligence. They are, for instance, being studied in search, generative and reactive planning, scheduling, agents, robotics, reasoning and meta reasoning, and machine learning. This workshop will bring together researchers from these communities to learn about each other's approaches, form long-term collaborations, and cross-fertilize the different areas to accelerate progress towards scaling up to larger and more realistic applications.
The one-day workshop will be held on August 1, 2005 as part of the IJCAI 2005 workshop series.
If you are interested in submitting a paper or participating in the workshop, please send an email to [EMAIL PROTECTED] with the line:
subscribe
in the body of the message. This will add you to the mailing list for the workshop. The mailing list is moderated against spam abuse.
Deadlines
April 4, 2005: paper submissions May 2, 2005: accept/reject decisions May 23, 2005: submission of camera-ready papers
Paper submissions must be send in pdf format to [EMAIL PROTECTED] with the subject line "IJCAI Workshop Submission". Note that we cannot accept paper submissions in formats other than pdf. Paper submissions and final papers must not exceed 6 pages. The format is NOT double-blind, but otherwise has to follow the IJCAI 2005 formatting guidelines.
Workshop Organizers
Vadim Bulitko, University of Alberta ([EMAIL PROTECTED]) Sven Koenig, University of Southern California
Program Committee Members
Douglas Aberdeen, The Australian National University (Australia) Blai Bonet, Universidad Simon Bolivar (Venezuela) Greg Calbert, DSTO (Australia) Russ Greiner, University of Alberta (Canada) Frederic Maire, Queensland University of Technology (Australia) Martin Mueller, University of Alberta (Canada) Jonathan Schaeffer, University of Alberta (Canada) Masashi Shimbo, Nara Institute of Science and Technology (Japan) Peter Stone, University of Texas at Austin (USA) Nathan Sturtevant, University of Alberta (Canada) Rich Sutton, University of Alberta (Canada)
==================
_______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
